Systems | Development | Analytics | API | Testing

Software teams move fast — until they hit a data bottleneck. Meet the Delphix DevOps Data Platform from Perforce. Delphix automates the delivery of compliant, production-quality, and AI-ready data so teams can validate and release software at AI speed. With Delphix, you can: Provision and refresh virtual datasets in minutes, not days or weeks. Automatically discover and mask sensitive data while preserving relationships across systems.

Learn more: speedscale.com.

Somewhere along the way, data teams accepted a trade-off: pipelines that just work, or bills that you can actually forecast, pick one. So you live with the silent failures, the schema changes that break dashboards overnight, and the month-end invoice that never quite matches the data you moved. Not because it's acceptable, but because it's familiar. In this session, we're challenging that trade-off head-on. We'll break down where pipelines fail quietly and where costs inflate invisibly and show you, live, what it looks like when your pipeline gives you full visibility into every sync, every record, and every dollar.

Katalon Studio 11.2 is out. Xuan Tran (PM, Studio) walks through what's new in our product, including AI Failure Analysis, which tells you why a test failed instead of making you read the logs.

Spotter just got smarter and more in your control. You can now customize your agent's name, persona, output formatting, and guardrails to dictate exactly how it should (and shouldn't) handle data. Set it once, in plain language, and every user across the organization gets a configured, governed Spotter. Other new features include: Ad-hoc file analysis: Upload any flat file directly into Spotter and start asking questions instantly, solo or blended with your governed data.

Join this session to learn about Agent Development Kit (ADK) and Model Context Protocol (MCP) integration methods that standardize how agents connect to your data while removing the need to build custom database connectors from scratch. Discover how to build agents with the ADK that accesses BigQuery for analysis, Google Maps for geospatial insights, and AlloyDB for transactions – all in a single workflow. Learn how to implement agent operations (AgentOps) for deep observability into both agent performance and cost with a single line of code.

Use Real-Time Context Engine and Claude, or any MCP-compatible client, to explore operational data using natural language in real time. That includes everything from simple lookups to multi-step investigative questions like: Confluent’s Real-Time Context Engine gives AI agents live access to operational context as events happen across the business. Instead of relying on stale snapshots, agents can query and reason over continuously updated tables in real time.

AI-assisted code remediation, a new feature in Perforce Static Analysis tools QAC and Klocwork, speeds up development by providing immediate fix suggestions to reported issues. Launch faster, with confidence.

Run your first LLM proxy on WSO2 Platform AI Gateway in minutes — no cloud setup required, just Docker. This quickstart walks you through spinning up the WSO2 Platform AI Gateway as a standalone component on your own infrastructure. You'll add an OpenAI provider configuration (including API key auth and access control rules), deploy an LLM proxy that routes through it, and verify live responses end to end. What you'll set up.

This video shows how the WSO2 solution helps businesses follow the rules of India's Digital Personal Data Protection (DPDP) Act. You will see how the system handles user consent in a simple way to keep your business compliant with the new regulations.